Sick Individuals and Sick Populations
The article by Lederman et al. discusses an epidemiological investigation of mortality from diseases of the circulatory, respiratory, and endocrine systems, as well as neoplasms, in the São Paulo Metropolitan Region (SPMR), analyzed using geoprocessing.
It is noteworthy that the study combined a database of over 1.3 million hospital records from a tertiary hospital with state mortality records through deterministic linkage. In other words, identical variables from the same patient present in the different databases were used to combine them, allowing for the tracking of long-term outcomes of patients frequently lost to care after hospital discharge.
[…]
Comments are moderated by the editorial team before publication. Discussions should be evidence-based and use scientific language. Conflicts of interest should be declared.